dsh-whale-report
鲸鱼记事本 — 你的 Agent 年度/月度/周度/日报:从会话事件日志生成数据新闻官式报告,任意区间、定时生成。
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鲸鱼记事本 — 你的 Agent 年度/月度/周度/日报:从会话事件日志生成数据新闻官式报告,任意区间、定时生成。
OMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.
RMB/USD token-billing plugin for DSH web: official-policy auto pricing (incl. peak/off-peak), full coding-plan billing by provider routing, Settings→Cost summary page, per-message ledger, account balance, locale-driven currency display
Provider Model Configurator for DeepSeek Harness: view, create, edit, copy and delete model entries (context window, max output, modalities, reasoning efforts) across your configured providers, with quick-fill from the pi-ai preset catalog.
Eyes for text-only DeepSeek on DeepSeek Harness: image understanding via Doubao Web by default (zero cost, no API key), Antigravity IDE quota (flash/pro), Gemini API, or Cockpit proxy — model-invokable vision tool, wrapper adapters, evidence memory, and a bilingual client panel.
Third-party DSH WebUI enhancement plugin: custom backgrounds, theme colors, prompt presets, token visibility, and manual context compaction.
Vertical prompt quick-jump rail for the DeepSeek Harness web conversation view
Web-chat-like message actions for DeepSeek Harness: edit-and-resend your prompt and regenerate answers in place, with a deepseek.com-style <i/N> version pager on every versioned message.
One memory layer for every AI tool and agent, packaged for DeepSeek Harness with startup context, prompt-time recall, Mem MCP tools, and DSH thread capture.
View, hook, replace, and switch DeepSeek Harness system prompts via presets
AI 系统的数据层:把 18 种来源(文档站/GitHub/PDF/视频/Notebook/Wiki…)转成结构化知识资产,导出到 22 种目标(Claude/Gemini/OpenAI/RAG 管道/编码助手);AI 驱动项目扫描生成配置。受 yusufkaraaslan/Skill_Seekers(14k★ MIT)启发。
网页复刻:从参考图/URL 提取字体、颜色、动画、组件结构,生成还原度高的网页项目。受 xuanxuan-prompts(169★)启发。
模型路由网关:一个端点连接 290+ AI 提供商(90+ 免费、1200+ 模型),Claude Code/Codex/Cursor/Cline/Copilot 全兼容——配额感知自动回退、19 种路由策略、RTK+Caveman 叠加压缩省 15-95% token、免费层聚合预算(~1.5B tokens/月)、MCP/A2A、本地优先。受 diegosouzapw/OmniRoute(51k★ MIT)启发。
Unified DeepSeek Harness plugin: role-based subagent routing + per-agent evolution — prefercmd/memory as knowledge allow/deny lists, so repeated tasks start from proven commands and save tokens
AI-for-Science research workflow skill bundle for DeepSeek Harness: multi-angle literature review with per-angle files, anchored experiment design with a caveat list, figures, paper reading; cross-verification briefs.
Native DeepSeek API balance and local token usage dashboard for DeepSeek Harness
DeepSeek Harness 原生视觉 Bundle:粘贴或拖入图片,通过托管的 deepseek-vision-mcp 调用 OpenAI 兼容视觉模型。
RAG 检索增强生成:向量数据库、嵌入、语义搜索、减少幻觉、来源引用。受 wshobson/agents(38k★ MIT)启发。
Sidebar usage card for the dsh web GUI: 7d/30d token usage, spend and remaining DeepSeek balance, rendered above the settings button.
DeepSeek Harness plugin: LLM model selection & deployment analysis (deployability, VRAM, TTFT, latency, throughput, power for 38 models × 20 GPUs/NPUs)
DeepSeek Harness plugin for progressive, source-grounded deep research, writing, and learning: steerable checkpoints and citations verified against retrieved sources
Indirect prompt-injection guard for DeepSeek Harness: taints tool output by origin and gates privileged tool calls that follow untrusted content
DSH 插件:把会话轨迹变成可分享、可复盘、可教学的结构化报告(脱敏 + LLM 总结,HTML/MD/JSON 输出)
Multi-agent orchestration for DeepSeek Harness: delegate, adversarial review, diverse explore, background runs + converge. One prompt. A team of agents.